Triple

T26535032
Position Surface form Disambiguated ID Type / Status
Subject Tambak Johor E671221 entity
Predicate hasRailwayTrack P16835 FINISHED
Object yes LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Tambak Johor, hasRailwayTrack, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRailwayTrack
Context triple: [Tambak Johor, hasRailwayTrack, yes]
  • A. hasRackRailway
    Indicates that one entity possesses or includes a rack railway system connecting locations or operating within its area.
  • B. railTracks chosen
    Indicates that one entity consists of, includes, or is associated with rail tracks used for guiding trains or rail vehicles.
  • C. hasRail
    Indicates that something is equipped with, includes, or is connected to a rail or rail system.
  • D. numberOfRailwayTracks
    Indicates the quantity of railway tracks associated with or present at a given entity or location.
  • E. hasRailwayInfrastructureType
    Indicates that an entity possesses or is associated with a specific type or category of railway infrastructure.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f67f0488bc819089fbd2d2478158d3 completed May 2, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69f67e3ed894819094c067c1ef624951 completed May 2, 2026, 10:44 p.m.
Created at: April 27, 2026, 1:38 a.m.